We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.
A vector-valued model-based cumulative sum (CUSUM) procedure is proposed
for identifying faulty/falsified sensor measurements. First, given the
system dynamics, we derive tools for tuning the CUSUM procedure in the
fault/attack free case to fulfill a desired detection performance (in
terms of false alarm rate). We use the widely-used chi-squared
fault/attack detection procedure as a benchmark to compare the
performance of the CUSUM. In particular, we characterize the state
degradation that a class of attacks can induce to the system while
enforcing that the detectors (CUSUM and chi-squared) do not raise
alarms. In doing so, we find the upper bound of state degradation that
is possible by an undetected attacker. We quantify the advantage of
using a dynamic detector (CUSUM), which leverages the history of the
state, over a static detector (chi-squared) which uses a single
measurement at a time. Simulations of a chemical reactor with heat
exchanger are presented to illustrate the performance of our tools
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.